Description for NLTK
NLTK is a Python platform for manipulating human language data, offering a range of tools and resources for Natural Language Processing (NLP) tasks.
Features of NLTK
- Text Processing Libraries: Includes semantic reasoning, classification, tokenization, stemming, labeling, and parsing libraries.
- Wrappers for Industrial NLP Libraries: Provides wrappers for NLP libraries tailored for industrial applications.
- Active Forum: Users can engage in discussions to resolve issues and share insights.
- Comprehensive Documentation: Offers exhaustive API documentation along with a practical guide covering computational linguistics and programming fundamentals.
Pricing for NLTK
Use Cases for NLTK
- Industry users, linguists, engineers, students, educators, and researchers are all viable applications for NLTK.
- Tag and tokenize text: Classify parts of speech for each token that are derived from words, phrases, symbols, or other meaningful elements (tokens) through the process of tagging.
- Recognize designated entities: Define and classify words that denote proper nouns (named entities), including but not limited to place names, organization names, and person names.
- Exhibit a parse tree: Construct a grammatical diagram of a sentence.
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